updates
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@ -1,6 +1,7 @@
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import os
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import os
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import torch
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import torch
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import torch.backends.cudnn as cudnn
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def init_seeds(seed=0):
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def init_seeds(seed=0):
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@ -8,8 +9,8 @@ def init_seeds(seed=0):
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# Remove randomness (may be slower on Tesla GPUs) # https://pytorch.org/docs/stable/notes/randomness.html
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# Remove randomness (may be slower on Tesla GPUs) # https://pytorch.org/docs/stable/notes/randomness.html
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if seed == 0:
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if seed == 0:
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torch.backends.cudnn.deterministic = True
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cudnn.deterministic = True
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torch.backends.cudnn.benchmark = False
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cudnn.benchmark = False
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def select_device(device='', apex=False, batch_size=None):
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def select_device(device='', apex=False, batch_size=None):
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